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Overview
What you will study
To succeed in today’s competitive business environment, organizations must not only collect reams of data but glean the most useful insights from this information. In this Using Python - Organize and Analyze Data course offered by University of Toronto, you’ll plan your own analytics project, using Python to import data, organize it into a data frame and analyze it correctly.
You’ll emerge well equipped to apply these methods at work and become a better business storyteller.
By the end of this micro course, you'll be able to:
- Plan an analytics project.
- Apply basic statistical methods.
- Import data into Python, organize into a data frame and conduct basic analysis.
- Tell a compelling story with data.
Programme Structure
The program focuses on:
- Python Programming
- Descriptive Statistics with Python
- Querying Databases with SQL
- Data Analytics
- Data Visualization
- Business Storytelling with Data
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Toronto, Canada
Disciplines
Data Analytics View 16 other Short Courses in Data Analytics in CanadaWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- All micro courses are open to everyone and there are no prerequisites or “application” requirements.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents659 CAD / full≈ 659 CAD / full -
Domestic Applies to you
Applies to youCitizens or residents659 CAD / full≈ 659 CAD / full
Funding
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